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DBMS > Dgraph vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. SiteWhere vs. Spark SQL

System Properties Comparison Dgraph vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. SiteWhere vs. Spark SQL

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSiteWhere  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerM2M integration platform for persisting/querying time series dataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMSGraph DBMS
Key-value store
Relational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitedgraph.iowww.graphengine.ioazure.microsoft.com/­services/­synapse-analyticsgithub.com/­sitewhere/­sitewherespark.apache.org/­sql
Technical documentationdgraph.io/­docswww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticssitewhere1.sitewhere.io/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDgraph Labs, Inc.MicrosoftMicrosoftSiteWhereApache Software Foundation
Initial release20162010201620102014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT LicensecommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGo.NET and CC++JavaScala
Server operating systemsLinux
OS X
Windows
.NEThostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonononono
Secondary indexesyesyesnono
SQL infoSupport of SQLnonoyesnoSQL-like DML and DDL statements
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
HTTP RESTJDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C#
Java
PHP
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesTransact SQLno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioningSharding, horizontal partitioningSharding infobased on HBaseyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyesselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlno infoPlanned for future releasesyesUsers with fine-grained authorization conceptno

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More resources
DgraphGraph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSiteWhereSpark SQL
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